The price drivers pay for gasoline often varies a great deal across regions throughout the United Slates. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in 11 metropolitan areas across the upper Midwest region (OthioGasPrices.com website, March 18, 2012). Click on th datafile logo to reference the data. DATA File Metropolitan Area BP Marathon Akron, Ohio Cincinnati. Ohio 3.77 3.72 3.83 3.78 387 3.89 3.79 Cleveland Ohio Columben, Ohio 3.85 3.77 1.76 R Wayne, Indiana Indianapolis, Indiana Laming. Mishigun Lexington, Kentucky Lauisvile. Kenacky Muncie, Indiana Toledn, Ohio 3.83 3.85 3.93 3.79 3.78 3.81 3.84 3.87 3.87 384 404 3.78 384 3.84 383 3.99 3.79 3.79 3.86 3.86 3.9 Use a= .05 to test for any significant difference in the mean price of gasoline for the three brands. If required, round your answers to four decimal places. If your answer is zero enter "0". P-value F rit Source of MS variation (to 4 decimals) df (to 4 decimals) (to 4 decimais) (to 4 decimals) (to 4 decimals) Rows Columns Error Total The p-value corresponding to Columns is What is your condusion? Conclude that there is a significant difference in the mean price for the three brands.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 22PFA
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The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline
service stations for three major brands of gasoline (Shell, BP, and Marathon) located in 11 metropolitan areas across the upper Midwest region (OthioGasPrices.com website, March 18, 2012). Click on the
datalile logo to reference the data.
DATA File
Metropolitan Area
Shl
BP
Marathon
3.78
3.87
Akron. Ohio
Cincionati, Ohio
Cleveland. Ohio
Columbun, Ohio
Wayne, Indiana
Indianapolis, Indiana
Lasing. Michigan
Lexington, Kentucky
Louisvile. Kennacky
Muncie, Indiana
3.77
3.72
3.57
1.76
3.83
3.89
3.79
3.87
3.87
3.77
3.84
3.84
404
3.78
3.84
3.84
3.83
3.83
3.85
3.93
3.79
3.78
3.81
3.99
3.79
3.79
3.86
3.86
Toledo, Ohio
3.69
Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. If required, round your answers to four decimal places. If your answer is zero enter "0".
Source of
MS
P-value
F crit
variation
(to 4 decimals)
df
(to 4 decimals) (to 4 decimals) (to 4 decimals) (to 4 decimals)
Rows
Columns
Error
Total
The p-value corresponding to Columns is
What is your conclusion?
Conclude that there is a significant difference in the mean price for the three brands.
Transcribed Image Text:The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in 11 metropolitan areas across the upper Midwest region (OthioGasPrices.com website, March 18, 2012). Click on the datalile logo to reference the data. DATA File Metropolitan Area Shl BP Marathon 3.78 3.87 Akron. Ohio Cincionati, Ohio Cleveland. Ohio Columbun, Ohio Wayne, Indiana Indianapolis, Indiana Lasing. Michigan Lexington, Kentucky Louisvile. Kennacky Muncie, Indiana 3.77 3.72 3.57 1.76 3.83 3.89 3.79 3.87 3.87 3.77 3.84 3.84 404 3.78 3.84 3.84 3.83 3.83 3.85 3.93 3.79 3.78 3.81 3.99 3.79 3.79 3.86 3.86 Toledo, Ohio 3.69 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. If required, round your answers to four decimal places. If your answer is zero enter "0". Source of MS P-value F crit variation (to 4 decimals) df (to 4 decimals) (to 4 decimals) (to 4 decimals) (to 4 decimals) Rows Columns Error Total The p-value corresponding to Columns is What is your conclusion? Conclude that there is a significant difference in the mean price for the three brands.
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